World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
41
Citations
14629
World Ranking
2117
National Ranking
1220

Ingmar R. Prucha publication distribution in Economics and Finance in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Economics and Finance in 2026. The highlighted bar marks where Ingmar R. Prucha sits on this spectrum.

42–46 publications: 1 scientists 47–51 publications: 12 scientists 52–56 publications: 7 scientists 57–61 publications: 23 scientists 62–66 publications: 32 scientists 67–71 publications: 36 scientists 72–76 publications: 56 scientists 77–81 publications: 57 scientists 82–86 publications: 70 scientists 87–91 publications: 86 scientists 92–96 publications: 72 scientists 97–101 publications: 106 scientists 102–106 publications: 97 scientists 107–111 publications: 96 scientists 112–116 publications: 101 scientists 117–121 publications: 103 scientists 122–126 publications: 102 scientists 127–131 publications: 108 scientists 132–136 publications: 107 scientists 137–141 publications: 111 scientists 142–146 publications: 94 scientists 147–151 publications: 96 scientists 152–156 publications: 100 scientists 157–161 publications: 74 scientists 162–166 publications: 68 scientists 167–171 publications: 91 scientists 172–176 publications: 76 scientists 177–181 publications: 75 scientists 182–186 publications: 61 scientists 187–191 publications: 66 scientists 192–196 publications: 68 scientists 197–201 publications: 71 scientists 202–206 publications: 60 scientists 207–211 publications: 56 scientists 212–216 publications: 44 scientists 217–221 publications: 51 scientists 222–226 publications: 65 scientists 227–231 publications: 48 scientists 232–236 publications: 59 scientists 237–241 publications: 37 scientists 242–246 publications: 37 scientists 247–251 publications: 41 scientists 252–256 publications: 43 scientists 257–261 publications: 33 scientists 262–266 publications: 34 scientists 267–271 publications: 39 scientists 272–276 publications: 25 scientists 277–281 publications: 29 scientists 282–286 publications: 29 scientists 287–291 publications: 26 scientists 292–296 publications: 31 scientists 297–301 publications: 31 scientists 302–306 publications: 24 scientists 307–311 publications: 28 scientists 312–316 publications: 24 scientists 317–321 publications: 13 scientists 322–326 publications: 14 scientists 327–331 publications: 25 scientists 332–336 publications: 18 scientists 337–341 publications: 16 scientists 342–346 publications: 18 scientists 347–351 publications: 15 scientists 352–356 publications: 17 scientists 357–361 publications: 19 scientists 362–366 publications: 16 scientists 367–371 publications: 17 scientists 372–376 publications: 7 scientists 377–381 publications: 18 scientists 382–386 publications: 13 scientists 387–391 publications: 19 scientists 392–396 publications: 9 scientists 397–401 publications: 10 scientists 402–406 publications: 13 scientists 407–411 publications: 13 scientists 412–416 publications: 5 scientists 417–421 publications: 10 scientists 422–426 publications: 6 scientists 427–431 publications: 12 scientists 432–436 publications: 9 scientists 437–441 publications: 9 scientists 442–446 publications: 10 scientists 447–451 publications: 12 scientists 452–456 publications: 8 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 4 scientists 472–476 publications: 5 scientists 477–481 publications: 6 scientists 482–486 publications: 7 scientists 487–491 publications: 8 scientists 492–496 publications: 5 scientists 497–501 publications: 4 scientists 502–506 publications: 4 scientists 507–511 publications: 5 scientists 512–516 publications: 7 scientists 517–520 publications: 7 scientists 521+ publications: 99 scientists
42 publications 521+

This scientist: 110 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 521 publications or more.

Ingmar R. Prucha D-index placement in Economics and Finance in 2026

The chart shows the D-index (discipline H-index) distribution of Economics and Finance scientists ranked by Research.com in 2026. The highlighted bar marks where Ingmar R. Prucha sits on this spectrum.

30 D-Index: 126 scientists 31 D-Index: 147 scientists 32 D-Index: 157 scientists 33 D-Index: 178 scientists 34 D-Index: 171 scientists 35 D-Index: 141 scientists 36 D-Index: 132 scientists 37 D-Index: 129 scientists 38 D-Index: 130 scientists 39 D-Index: 120 scientists 40 D-Index: 117 scientists 41 D-Index: 113 scientists 42 D-Index: 114 scientists 43 D-Index: 97 scientists 44 D-Index: 115 scientists 45 D-Index: 86 scientists 46 D-Index: 78 scientists 47 D-Index: 83 scientists 48 D-Index: 62 scientists 49 D-Index: 74 scientists 50 D-Index: 50 scientists 51 D-Index: 66 scientists 52 D-Index: 69 scientists 53 D-Index: 55 scientists 54 D-Index: 67 scientists 55 D-Index: 61 scientists 56 D-Index: 62 scientists 57 D-Index: 45 scientists 58 D-Index: 34 scientists 59 D-Index: 47 scientists 60 D-Index: 46 scientists 61 D-Index: 36 scientists 62 D-Index: 37 scientists 63 D-Index: 56 scientists 64 D-Index: 50 scientists 65 D-Index: 32 scientists 66 D-Index: 28 scientists 67 D-Index: 30 scientists 68 D-Index: 24 scientists 69 D-Index: 25 scientists 70 D-Index: 22 scientists 71 D-Index: 21 scientists 72 D-Index: 26 scientists 73 D-Index: 24 scientists 74 D-Index: 23 scientists 75 D-Index: 12 scientists 76 D-Index: 14 scientists 77 D-Index: 15 scientists 78 D-Index: 15 scientists 79 D-Index: 17 scientists 80 D-Index: 17 scientists 81 D-Index: 11 scientists 82 D-Index: 10 scientists 83 D-Index: 16 scientists 84 D-Index: 11 scientists 85 D-Index: 5 scientists 86 D-Index: 9 scientists 87 D-Index: 13 scientists 88 D-Index: 9 scientists 89 D-Index: 7 scientists 90 D-Index: 6 scientists 91 D-Index: 4 scientists 92 D-Index: 8 scientists 93 D-Index: 10 scientists 94 D-Index: 11 scientists 95 D-Index: 6 scientists 96 D-Index: 4 scientists 97 D-Index: 4 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100 D-Index: 8 scientists 101+ D-Index: 100 scientists
30 D-Index 101+

This scientist: 41 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 101 D-Index or more.

Overview

Ingmar R. Prucha is affiliated with the University of Maryland, College Park in the United States. Their research primarily focuses on the field of Economics, Econometrics, and Finance, with a particular emphasis on spatial and panel data analysis.

The subfields of study that Ingmar R. Prucha has extensively contributed to include Economics and Econometrics, Education, Sociology and Political Science, Management Science and Operations Research, and Statistics and Probability.

Key topics covered in their research are:

  • Spatial and Panel Data Analysis
  • Regional Economics and Spatial Analysis
  • School Choice and Performance
  • Media Influence and Politics
  • Housing Market and Economics
  • Fiscal Policy and Economic Growth
  • Demographic Modeling and Climate Adaptation

Their recent papers, reflecting a focus on spatial econometrics and network interactions, are:

  • SIMULTANEOUS EQUATIONS MODELS WITH HIGHER-ORDER SPATIAL OR SOCIAL NETWORK INTERACTIONS, 2022, Econometric Theory
  • Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity, 2020, Econometrica
  • Efficient peer effects estimators with group effects, 2023, Journal of Econometrics
  • Refined GMM estimators for simultaneous equations models with network interactions, 2023, Empirical Economics
  • Refined GMM Estimators for Simultaneous Equations Models with Network Interactions, 2022, SSRN Electronic Journal

Ingmar R. Prucha frequently collaborates with several scholars in their research:

  • Peter Egger
  • Guido M. Kuersteiner
  • Ying Zeng
  • David M. Drukker

Their work has been published in various academic venues, with multiple contributions to:

  • Econometric Theory
  • Journal of Econometrics
  • arXiv (Cornell University)
  • Econometrica
  • Empirical Economics

Best Publications

  • A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances

    Harry H. Kelejian;Ingmar R. Prucha

  • A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model

    Harry H. Kelejian;Ingmar R. Prucha

  • Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances

    Harry H. Kelejian;Ingmar R. Prucha

  • Panel data models with spatially correlated error components

    Mudit Kapoor;Harry H. Kelejian;Ingmar R. Prucha

  • On the Asymptotic Distribution of the Moran I Test Statistic with Applications

    Harry H. Kelejian;Ingmar R. Prucha

  • Estimation of simultaneous systems of spatially interrelated cross sectional equations

    Harry H. Kelejian;Ingmar R. Prucha

  • HAC estimation in a spatial framework

    Harry H. Kelejian;Ingmar R. Prucha

  • A SPATIAL CLIFF‐ORD‐TYPE MODEL WITH HETEROSKEDASTIC INNOVATIONS: SMALL AND LARGE SAMPLE RESULTS*

    Irani Arraiz;David M. Drukker;Harry H. Kelejian;Ingmar R. Prucha

  • ESTIMATION OF THE DEPRECIATION RATE OF PHYSICAL AND R&D CAPITAL IN THE U.S. TOTAL MANUFACTURING SECTOR

    M. Ishaq Nadiri;Ingmar R. Prucha

  • Dynamic Nonlinear Econometric Models: Asymptotic Theory

    Jurgen Franke;Benedikt M. Potscher;Ingmar R. Prucha

  • On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors

    David M. Drukker;Peter Egger;Ingmar R. Prucha

  • Maximum Likelihood and Generalized Spatial Two-Stage Least-Squares Estimators for a Spatial-Autoregressive Model with Spatial-Autoregressive Disturbances:

    David M. Drukker;Ingmar R. Prucha;Rafal Raciborski

  • Dynamic Nonlinear Econometric Models

    Benedikt M. Pötscher;Ingmar R. Prucha

  • Central Limit Theorems and Uniform Laws of Large Numbers for Arrays of Random Fields.

    Nazgul Jenish;Ingmar R. Prucha

  • Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances

    Harry H. Kelejian;Ingmar R. Prucha;Ingmar R. Prucha

  • INSTRUMENTAL VARIABLE ESTIMATION OF A SPATIAL AUTOREGRESSIVE MODEL WITH AUTOREGRESSIVE DISTURBANCES: LARGE AND SMALL SAMPLE RESULTS

    Harry H. Kelejian;Ingmar R. Prucha;Yevgeny Yuzefovich

  • Creating and managing spatial-weighting matrices with the spmat command

    David M. Drukker;Hua Peng;Ingmar R. Prucha;Rafal Raciborski

  • A command for estimating spatial-autoregressive models with spatial-autoregressive disturbances and additional endogenous variables

    David M. Drukker;Ingmar R. Prucha;Rafal Raciborski

  • Finite sample properties of estimators of spatial autoregressive models with autoregressive disturbances

    Debabrata Das;Harry H. Kelejian;Ingmar R. Prucha

  • 2SLS and OLS in a spatial autoregressive model with equal spatial weights

    Harry H. Kelejian;Ingmar R. Prucha

  • Estimation of the Depreciation Rate of Physical and R&D Capital in the U.S. Total Manufacturing Sector

    M.I. Nadiri;Ingmar Prucha

Frequent Co-Authors

M. Ishaq Nadiri
M. Ishaq Nadiri New York University
Harry H. Kelejian
Harry H. Kelejian University of Maryland, College Park
Dilip B. Madan
Dilip B. Madan University of Maryland, College Park
Pierre Mohnen
Pierre Mohnen Maastricht University
Peter Egger
Peter Egger ETH Zurich
Badi H. Baltagi
Badi H. Baltagi Syracuse University

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